28 results match your criteria: "The Genome Institute at Washington University[Affiliation]"
Annu Rev Anal Chem (Palo Alto Calif)
October 2013
The Genome Institute at Washington University School of Medicine, St. Louis, Missouri 63108, USA.
Automated DNA sequencing instruments embody an elegant interplay among chemistry, engineering, software, and molecular biology and have built upon Sanger's founding discovery of dideoxynucleotide sequencing to perform once-unfathomable tasks. Combined with innovative physical mapping approaches that helped to establish long-range relationships between cloned stretches of genomic DNA, fluorescent DNA sequencers produced reference genome sequences for model organisms and for the reference human genome. New types of sequencing instruments that permit amazing acceleration of data-collection rates for DNA sequencing have been developed.
View Article and Find Full Text PDFCurr Opin Genet Dev
June 2012
The Genome Institute at Washington University School of Medicine, St. Louis, MO 63108, United States.
New technologies for DNA sequencing, coupled with advanced analytical approaches, are now providing unprecedented speed and precision in decoding human genomes. This combination of technology and analysis, when applied to the study of cancer genomes, is revealing specific and novel information about the fundamental genetic mechanisms that underlie cancer's development and progression. This review outlines the history of the past several years of development in this realm, and discusses the current and future applications that will further elucidate cancer's genomic causes.
View Article and Find Full Text PDFMethods Mol Biol
April 2012
The Genome Institute at Washington University School of Medicine, St. Louis, MO, USA.
The emergence of next-generation sequencing (NGS) technologies offers an incredible opportunity to comprehensively study DNA sequence variation in human genomes. Commercially available platforms from Roche (454), Illumina (Genome Analyzer and Hiseq 2000), and Applied Biosystems (SOLiD) have the capability to completely sequence individual genomes to high levels of coverage. NGS data is particularly advantageous for the study of structural variation (SV) because it offers the sensitivity to detect variants of various sizes and types, as well as the precision to characterize their breakpoints at base pair resolution.
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